Platform engineer for AI security

We’re hiring a Platform Engineer to design, build and operate the infrastructure that powers our product across multiple environments: public cloud (primarily AWS), multi-cloud deployments, and customer-hosted on-prem and air-gapped environments. RevEng.ai builds AI that understands software at the binary level: the code that actually runs on machines. Security teams use our platform for reverse engineering, vulnerability detection, malware analysis and software supply chain security, all without needing access to source code.

• Design, build and operate Kubernetes-based platforms across AWS and other cloud providers, owning and evolving our multi-cloud strategy and ensuring consistency, reliability, and security across environments.
• Build reusable platform primitives for networking, secrets, storage, ingress, observability, and CI/CD.
• Enable repeatable, automated deployments across SaaS, customer-managed and air-gapped environments.
• Strengthen reliability and security with secure-by-default patterns, clear SLIs/SLOs and observability standards.
• Support production operations, including incident response, root cause analysis and continuous improvement.
• Partner with product engineers and researchers, guiding cloud-native best practices and shaping engineering standards.

• 4-8+ years in platform, infrastructure or SRE roles, ideally in a high-growth or startup environment.
• Proven experience designing and operating production-grade Kubernetes: networking, ingress, storage, RBAC and upgrades.
• Deep AWS experience (EKS, IAM, VPC, EC2, S3, load balancing), with exposure to at least one other cloud provider (GCP/Azure).
• Strong infrastructure-as-code skills with Terraform or equivalent, and experience building CI/CD pipelines for SaaS and self-hosted deployments.
• Hands-on experience with containers, image pipelines and registries, and with observability tooling such as Prometheus, Grafana, OpenSearch and OpenTelemetry.
• A strong understanding of networking, security and distributed systems.
• Eligibility to obtain UK security clearance.
• Будет плюсом: Experience with air-gapped or restricted-network environments, and/or OpenShift in production; Secure software supply chain practices, such as SBOMs, signing and provenance; Familiarity with zero-trust networking or service mesh technologies; Exposure to ML/AI platforms or data-heavy workloads; Experience supporting enterprise or regulated environments

• £85k–110k salary, plus share options and an annual bonus
• The chance to shape how cutting-edge AI security technology is deployed, from the cloud to the most secure environments.
• Real influence over platform architecture and our long-term infrastructure roadmap.
• Hybrid working from our London office, with the team getting together on Wednesdays for a company-paid lunch and after-work socials. Remote within Europe is possible for the right candidate.
• Private health insurance.
• 25 days’ annual leave, plus bank holidays and your birthday off.